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基于 MODIS 卫星反演数据的全球陆地区域气溶胶细模态分数新数据集。

New global aerosol fine-mode fraction data over land derived from MODIS satellite retrievals.

机构信息

State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China.

Department of Geography, San Diego State University, 5500 Campanile Dr., San Diego, CA, 92182-4493, USA.

出版信息

Environ Pollut. 2021 May 1;276:116707. doi: 10.1016/j.envpol.2021.116707. Epub 2021 Feb 8.

Abstract

The space-borne measured fine-mode aerosol optical depth (fAOD) is a gross index of column-integrated anthropogenic particulate pollutants, especially over the populated land. The fAOD is the product of the AOD and the fine-mode fraction (FMF). While there exist numerous global AOD products derived from many different satellite sensors, there have been much fewer, if any, global FMF products with a quality good enough to understand their spatiotemporal variations. This is key to understanding the global distribution and spatiotemporal variations of air pollutants, as well as their impacts on global environmental and climate changes. Modifying our newly developed retrieval algorithm to the latest global-scale Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol product (Collection 6.1), a global 10-year FMF product is generated and analyzed here. We first validate the product through comparisons with the FMF derived from Aerosol Robotic Network (AERONET) measurements. Among our 169,313 samples, the satellite-derived FMFs agreed with the AERONET spectral deconvolution algorithm (SDA)-retrieved FMFs with a root-mean-square error (RMSE) of 0.22. Analyzed using this new product are the global patterns and interannual and seasonal variations of the FMF over land. In general, the FMF is large (>0.80) over Mexico, Myanmar, Laos, southern China, and Africa and less than 0.5 in the Sahelian and Sudanian zones of northern Africa. Seasonally, higher FMF values occur in summer and autumn. The linear trend in the satellite-derived and AERONET FMFs for different countries was explored. The upward trend in the FMFs was particularly strong over Australia since 2008. This study provides a new global view of changes in FMFs using a new satellite product that could help improve our understanding of air pollution around the world.

摘要

星载细模态气溶胶光学厚度(fAOD)是柱积分人为颗粒物污染物的总指标,尤其是在人口密集的陆地地区。fAOD 是 AOD 与细模态分数(FMF)的乘积。虽然存在许多来自不同卫星传感器的全球 AOD 产品,但如果有任何质量足够好以了解其时空变化的全球 FMF 产品,数量也很少。这对于了解空气污染物的全球分布和时空变化以及它们对全球环境和气候变化的影响至关重要。我们将新开发的检索算法修改为最新的全球尺度中等分辨率成像光谱仪(MODIS)气溶胶产品(版本 6.1),生成并分析了一个全球 10 年 FMF 产品。我们首先通过与气溶胶机器人网络(AERONET)测量得出的 FMF 进行比较来验证该产品。在我们的 169,313 个样本中,卫星得出的 FMF 与 AERONET 光谱反卷积算法(SDA)检索的 FMF 具有 0.22 的均方根误差(RMSE)。使用此新产品分析了陆地上空 FMF 的全球模式以及年际和季节性变化。一般来说,墨西哥、缅甸、老挝、中国南部和非洲上空的 FMF 较大(>0.80),而撒哈拉和苏丹地区的 FMF 小于 0.5。从季节上看,夏季和秋季的 FMF 值较高。探索了不同国家的卫星和 AERONET FMF 的线性趋势。自 2008 年以来,澳大利亚的 FMF 呈上升趋势,尤其明显。本研究使用新的卫星产品提供了 FMF 变化的新的全球视角,这有助于提高我们对全球范围内空气污染的认识。

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